Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference

Y Li, X He, Q Kong, Y Zeng - Information Sciences, 2024 - Elsevier
Spike-based neuromorphic hardware has demonstrated substantial potential in low energy
consumption and efficient inference. However, the direct training of deep spiking neural …

Enhancing Robustness of Spiking Neural Networks Through Retina-Like Coding and Memory-Based Neurons

J Zhang, K Wang, M Yao, H Xu, P Zhou, B Xu, G Li - Authorea Preprints, 2024 - techrxiv.org
Spiking neural networks (SNNs) are emerging as a promising alternative to traditional
artificial neural networks (ANNs), offering advantages such as lower power consumption …